Wind farm layout design using cuckoo search algorithm

S. Rehman, S. Ali, Syed Hasan Adil
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引用次数: 13

Abstract

Wind energy has emerged as a strong alternative to fossil fuels for power generation. To generate this energy, wind turbines are placed in a wind farm. The extraction of maximum energy from these wind farms demands an efficient layout of the wind farms. This layout determines the location of each turbine in the wind farm. Due to its sheer complexity, the wind farm layout design problem is considered a complex optimization problem. In recent years, several attempts have been made to develop techniques and algorithms for optimization of wind farms. This paper proposes yet another optimization algorithm based on the cuckoo search (CS), which is a recent optimization method. The proposed cuckoo search algorithm is compared with genetic algorithm which is by far the highest utilized algorithm for wind farm layout design. Empirical results indicate that the proposed cuckoo search algorithm outperformed the genetic algorithm for the given test scenarios in terms of yearly power output and efficiency.
采用布谷鸟搜索算法进行风电场布局设计
风能已成为化石燃料发电的有力替代品。为了产生这种能量,风力涡轮机被放置在风电场中。从这些风电场中提取最大的能量要求风电场的有效布局。这种布局决定了每个涡轮机在风电场中的位置。由于其复杂性,风电场布局设计问题被认为是一个复杂的优化问题。近年来,已经进行了几次尝试,以开发优化风力发电场的技术和算法。本文提出了另一种基于布谷鸟搜索(cuckoo search, CS)的优化算法,这是一种最新的优化方法。将布谷鸟搜索算法与遗传算法进行了比较,遗传算法是目前风电场布局设计中使用率最高的算法。实验结果表明,在给定的测试场景下,所提出的布谷鸟搜索算法在年输出功率和效率方面优于遗传算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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